BioTechnology: An Indian JournalISSN (PRINT): 0974-7435

Cluster analysis is an importantmethod in image identification, information retrieval, data mining and spatial database research, from which K means algorithmis a kind of clustering algorithmbased on classificationmethod, the algorithm thought is providing K pieces of classification on N pieces of objects, and every classification of them represents a cluster, by comparing every cluster calculated mean and all patterns samples mean, it gets a most similar cluster, constantly repeat such process till objects in cluster all are similar and different clustersÂ objects are different, while objective function convergence lets square error function value to be the minimum one.ACO(Ant Colony Optimization)is a kind of simulating ant colony foraging behaviorsÂ bio-inspired optimization calculation, due to the algorithm reflects prominent applicability in complex optimization problemsÂ solution aspect, let it to get well applied in robot system, picture processing, manufacturing system, vehicle route system and communication system. Therefore, the paper analyzes K means clustering algorithm, it gets the algorithm shortcomings, and uses ACO prototype systemto optimize K means clustering algorithm, and states the algorithm feasibility and superiority.